Definition at line 104 of file SVM_libsvm.h.
Public Attributes | |
| svm_parameter | param |
| int | nr_class |
| int | l |
| svm_node ** | SV |
| double ** | sv_coef |
| double * | rho |
| int * | label |
| int * | nSV |
| int | free_sv |
| double | objective |
parameter
Definition at line 107 of file SVM_libsvm.h.
number of classes, = 2 in regression/one class svm
Definition at line 109 of file SVM_libsvm.h.
| int svm_model::l |
total SV
Definition at line 111 of file SVM_libsvm.h.
SVs (SV[l])
Definition at line 113 of file SVM_libsvm.h.
| double** svm_model::sv_coef |
coefficients for SVs in decision functions (sv_coef[n-1][l])
Definition at line 115 of file SVM_libsvm.h.
| double* svm_model::rho |
constants in decision functions (rho[n*(n-1)/2])
Definition at line 117 of file SVM_libsvm.h.
| int* svm_model::label |
label of each class (label[n])
Definition at line 122 of file SVM_libsvm.h.
| int* svm_model::nSV |
number of SVs for each class (nSV[n]) nSV[0] + nSV[1] + ... + nSV[n-1] = l
Definition at line 126 of file SVM_libsvm.h.
1 if svm_model is created by svm_load_model 0 if svm_model is created by svm_train
Definition at line 131 of file SVM_libsvm.h.
| double svm_model::objective |
objective
Definition at line 133 of file SVM_libsvm.h.